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Proceedings Paper

New results on clutter reduction and parameter estimation for land mine detection using GPR
Author(s): Luc M. van Kempen; Hichem Sahli; J. Brooks; Jan P.H. Cornelis
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Paper Abstract

One of the main problems with the interpretation of GPR data is the strong ground reflection, obscuring signals arriving from just underneath the surface. The strength of this reflection can be reduced by deconvolution. This technique is especially useful when GPR is used to detect buried landmines. Parametric and non parametric time variant estimators are used for clutter characterization. Wavelet decomposition/reconstruction for noise removal is then applied. The application of the proposed signal processing technique to GPR data yields a substantial enhancement of the target reflection as well as a good estimation of physical parameters such as propagation velocity and target position.

Paper Details

Date Published: 27 April 2000
PDF: 8 pages
Proc. SPIE 4084, Eighth International Conference on Ground Penetrating Radar, (27 April 2000); doi: 10.1117/12.383532
Show Author Affiliations
Luc M. van Kempen, Vrije Univ. Brussel (Belgium)
Hichem Sahli, Vrije Univ. Brussel (Belgium)
J. Brooks, Vrije Univ. Brussel (Belgium)
Jan P.H. Cornelis, Vrije Univ. Brussel (Belgium)

Published in SPIE Proceedings Vol. 4084:
Eighth International Conference on Ground Penetrating Radar
David A. Noon; Glen F. Stickley; Dennis Longstaff, Editor(s)

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